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Teacherbot slides - seminar

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  1. 1. Teacherbot Siân Bayne, School of Education, University of Edinburgh @sbayne
  2. 2. Teacher automation
  3. 3. Frey and Osborne (2013) The future of employment: how susceptible are jobs to computerisation? Oxford Martin Programme on the Impacts of Future Technology.
  4. 4. intelligent tutoring systems artificial intelligence in education educational datamining learning analytics
  5. 5. “One can predict that in a few more years millions of school children will have access to what Philip of Macedon’s son Alexander enjoyed as a royal prerogative: the personal services of a tutor as well-informed and responsive as Aristotle.” Suppes, P. (1966). The uses of computers in education. Scientific American, 215(2): 206-20. Laurillard, D. (2011) Productivity:achieving higher quality and more effective learning in affordable and acceptable ways. “Productivity: Improved quantity or quality of learner achievement per unit of teacher time, and/or learner time.”
  6. 6. “The electronic tutor will spread across the planet as swiftly as the transistor radio, with even more momentous consequences. No social or political system, no philosophy, no culture, no religion can withstand a technology whose time has come.” Clarke, A. C. (1980). The Electronic Tutor. Omni Magazine. June 1980.
  7. 7. “We believe AIED has the potential to make a much broader contribution to Education than it currently does.” “the role that AIED systems can play within the broader educational settings of their use and with respect to the other resources available to learners, such as teachers, peers and the physical features of the environment, must be more clearly explained.” Underwood and Luckin (2011) A report for the UK’s TLRP Technology Enhanced Learning – Artificial Intelligence in Education Theme.
  8. 8. “In order to identify task-relevant conceptual assertions, we worked with domain experts and instructors to develop a ‘gold standard’ list of statements that captured important concepts and misconceptions for the unit of study. Such statements were drawn from both the experts’ knowledge and expectations and from transcripts of an unsupported dry-run of the task.” Adamson, Dyke, Jang and Rosé (2014) Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs. International Journal of Artificial Intelligence in Education 24(1), pp 92-124
  9. 9. “The goal [of corporate strategists and ‘futurologists’] is to replace (at least for the masses) face-to-face teaching by professional faculty with an industrial product, infinitely reproducible at decreasing unit cost.” Feenberg, A. (2003) Modernity theory and technology studies: reflections on bridging the gap in Modernity and Technology, eds Misa, Brey and Feenberg. MIT Press. pp.73-104.
  10. 10. “The critical pedagogy approach re-focuses attention away from the functionality of e-learning environments back to the core relations between students and teachers and the conditions in which they find themselves.” Clegg, S., Hudson, A. and Steel, J. (2003) The emperor's new clothes: globalisation and e-learning in higher education, British Journal of Sociology of Education, 24(1): 39-53. Faculty response: “a two-fold mobilization in defense of the human touch.”
  11. 11. “Though none of the traditional disciplines does this, one can trying seeing double: seeing the human and the nonhuman at once, without trying to strip either away.” Pickering, A. (2005). Asian eels and global warming: a posthumanist perspective on society and the environment. Ethics and the Environment, 10(2), 29-43.
  12. 12. Bot culture “Twitter bots are computer programs that tweet of their own accord. While people access Twitter through its Web site and other clients, bots connect directly to the Twitter mainline, parsing the information in real time and posting at will; it’s a code-to-code connection, made possible by Twitter’s wide-open A.P.I.” Dubbin, R. (2013) The Rise of Twitter Bots. The New Yorker. November 14, 2013. “They foreground the influence of automation on modern life, and they demystify it somewhat in the process.”
  13. 13. Public service bots @earthquakesLA by @billsnitzer
  14. 14. @stealthmountain
  15. 15. Wordplay bots @everyword by Allison Parrish
  16. 16. @anagramatron by @cmyr
  17. 17. @theDesireBot made by Felix Jung
  18. 18. @CancelThatCard by Ben Bradshaw @NeedADebitCard by ? Bots should punch up (2013) News You Can Bruise, 27 November 2013.
  19. 19. @JustYouThen
  20. 20. ‘Bots of conviction’ “A computer program that reveals the injustice and inequality of the world and imagines alternatives.... A computer program whose indictments are so specific you can’t mistake them for bullshit.” Sample, M. (2014) A protest bot is a bot so specific you can’t mistake it for bullshit: A Call for Bots of Conviction.
  21. 21. @droptheIbot by @phogan and @thisisjorge
  22. 22. “In the software-centered future, individuals and institutions won’t compete with computer programs so much as they’ll compete with each other over who can work best alongside computers.” Sonnad, N. (2014) Beautiful Twitter bots tell us what the future of automation is all about. Quartz, June 12 2014.
  23. 23. “Where does this leave the human teacher? Well, let me quote this dictum. Any teacher who can be replaced by a machine should be!” Clarke, A. C. (1980). The Electronic Tutor. Omni Magazine. June 1980.
  24. 24. Teacherbot EDCMOOC 2014 c.12,000 enrolments from 158 countries 4,000+ in the student Facebook group 9,000+ in the student G+ group 4000+ tweets to #edcmooc over course run 1,900 posts in Coursera forums c.50% with postgraduate degrees c.50% working in Education
  25. 25. #edcmooc
  26. 26. Teacherbot
  27. 27. “While I was trying to figure out what the hell ‘post-humanism’ means, the teacher bot led me on a merry chase looking up quotes and obscure academic references, which had the interesting side effect of ‘ambush teaching’ me. I will happily admit, that I do not feel like I have been to a class. I do not feel like I have been taught, either. I do, however, think I have learned something. I’ve certainly been prompted to think. Isn’t this what every good teacher/trainer strives for?” Giddens, Seth (2013) Chatting to Teacherbot. Why Posthuman Teachers Can Never Happen In My Lifetime.
  28. 28. “Though none of the traditional disciplines does this, one can trying seeing double: seeing the human and the nonhuman at once, without trying to strip either away.”
  29. 29. deficit  excess what works?  what do we want? supercession  entanglement embrace/resistance  play
  30. 30. in print: Bayne, S (2015) Teacherbot: interventions in automated teaching, Teaching in Higher Education, 20:4, 455-467 on github: in the press: Ask teacherbot: are robots the answer? Times Higher Education, May 21 2015 answer/2020326.article in summary: Teacherbot